code: def test_reduce(self, func, nin, nout, identity, shape, axis, dtype):
      if (nin, nout) != (2, 1):
          self.skipTest(
              f"reduce requires (nin, nout)=(2, 1); got {(nin, nout)=}"
          )
      jnp_fun = partial(
          jnp.frompyfunc(
              func, nin=nin, nout=nout, identity=identity
          ).reduce,
          axis=axis,
      )
      np_fun = cast_outputs(
          partial(
              np.frompyfunc(
                  func, nin=nin, nout=nout, identity=identity
              ).reduce,
              axis=axis,
          )
      )
  
      rng = jtu.rand_default(self.rng())
      args_maker = lambda: [rng(shape, dtype)]
  
      self._CheckAgainstNumpy(jnp_fun, np_fun, args_maker)
      self._CompileAndCheck(jnp_fun, args_maker)
  
imports: from functools import partial
  from absl.testing import absltest
  import numpy
  import jax
  import jax.numpy
  from jax._src import test_util
  from jax._src.numpy.ufunc_api import get_if_single_primitive
  from jax import config
label_desc: Use image node_id 6 for calling the LaxNumpyUfuncTests obj's underlying member method code with example usage: obj.test_reduce(func, nin, nout, identity, shape, axis, dtype) without return types